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  1. The Complementarity of Psychometrics and the Representational Theory of Measurement.Elina Vessonen - 2020 - British Journal for the Philosophy of Science 71 (2):415-442.
    Psychometrics and the representational theory of measurement are widely used in social scientific measurement. They are currently pursued largely in isolation from one another. I argue that despite their separation in practice, RTM and psychometrics are complementary approaches, because they can contribute in complementary ways to the establishment of what I argue is a crucial measurement property, namely, representational interpretability. Because RTM and psychometrics are complementary in the establishment of representational interpretability, the current separation of measurement approaches is unfounded. 1Introduction2Two (...)
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  • Making Time: A Study in the Epistemology of Measurement.Eran Tal - 2016 - British Journal for the Philosophy of Science 67 (1):297-335.
    This article develops a model-based account of the standardization of physical measurement, taking the contemporary standardization of time as its central case study. To standardize the measurement of a quantity, I argue, is to legislate the mode of application of a quantity concept to a collection of exemplary artefacts. Legislation involves an iterative exchange between top-down adjustments to theoretical and statistical models regulating the application of a concept, and bottom-up adjustments to material artefacts in light of remaining gaps. The model-based (...)
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  • Calibration: Modelling the measurement process.Eran Tal - 2017 - Studies in History and Philosophy of Science Part A 65:33-45.
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  • “It might be this, it should be that…” uncertainty and doubt in day-to-day research practice.Jutta Schickore & Nora Hangel - 2019 - European Journal for Philosophy of Science 9 (2):1-21.
    This paper examines how scientists conceptualize their research methodologies. Do scientists raise concerns about vague criteria and genuine uncertainties in experimental practice? If so, what sorts of issues do they identify as problematic? Do scientists acknowledge the presence of value judgments in scientific research, and do they reflect on the relation between epistemic and non-epistemic criteria for decisionmaking? We present findings from an analysis of qualitative interviews with 63 scientific researchers who talk about their views on good research practice. We (...)
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  • “It might be this, it should be that…” uncertainty and doubt in day-to-day research practice.Jutta Schickore & Nora Hangel - 2019 - European Journal for Philosophy of Science 9 (2):1-21.
    This paper examines how scientists conceptualize their research methodologies. Do scientists raise concerns about vague criteria and genuine uncertainties in experimental practice? If so, what sorts of issues do they identify as problematic? Do scientists acknowledge the presence of value judgments in scientific research, and do they reflect on the relation between epistemic and non-epistemic criteria for decisionmaking? We present findings from an analysis of qualitative interviews with 63 scientific researchers who talk about their views on good research practice. We (...)
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  • Calibrating Chromatography: How Tswett Broke the Experimenters’ Regress.Jonathan Livengood & Adam Edwards - 2022 - British Journal for the Philosophy of Science 73 (3):685-710.
    We propose a new account of calibration according to which calibrating a technique shows that the technique does what it is supposed to do. To motivate our account, we examine an early twentieth-century debate about chlorophyll chemistry and Mikhail Tswett’s use of chromatographic adsorption analysis to study it. We argue that Tswett’s experiments established that his technique was reliable in the special case of chlorophyll without relying on either a theory or a standard calibration experiment. We suggest that Tswett broke (...)
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  • Simulation and Calibration: Mitigating Uncertainty.Deborah Haar - 2021 - Philosophy of Science 88 (5):985-996.
    Calibrating a simulation is a crucial step for certain kinds of simulation modeling, and it results in a simulation that is epistemically different from its pre- or uncalibrated counterpart. This article discusses how simulation model builders mitigate uncertainty about model parameters that are necessary for modeling through calibration and argues that the simulation outcomes after calibration are physically meaningful and relevant. When evaluating the epistemic status of computer simulations, comparisons between computer simulations and traditional experiments need to consider this important (...)
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  • Interpretive Internalism and Hermeneutic Realism.Dimitri Ginev - 2016 - Journal of the Indian Council of Philosophical Research 33 (1):23-42.
    IntroductionThe aim of this paper is to outline the program of a hermeneutic theory of the way in which reality becomes disclosed and meaningfully articulated in practices of scientific inquiry.Text and MethodsI describe the profile of hermeneutic realism by addressing the issue of how objectified factuality is produced within the facticity of inquiry. Hermeneutic realism is characterized as a position that discards foundational epistemology and cognitive essentialism. I argue that the meaningful articulation of domains disclosed in scientific inquiry is an (...)
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  • The fifth chemical revolution: 1973–1999.José A. Chamizo - 2017 - Foundations of Chemistry 19 (2):157-179.
    A new chronology is introduced to address the history of chemistry, with educational purposes, particularly for the end of the twentieth century and here identified as the fifth chemical revolution. Each revolution are considered in terms of the Kuhnian notion of ‘exemplar,’ rather than ‘paradigm.’ This approach enables the incorporation of instruments, as well as concepts and the rise of new subdisciplines into the revolutionary process and provides a more adequate representation of such periods of development and consolidation. The fifth (...)
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